On the issue of using digital radio communications of the DMR standard to control the train traffic on Russian railways

The article examines the economic development of railway transport on the example of JSC “Russian Railways” as part of the implementation of “Russia’s Railway Transport Development Strategy 2030”. There are formulated the main objectives of this strategy and the main directions of its implementation with the “Digital Railway” project. The connection of the digital railway with the digital economy is revealed through the analysis of the company’s performance over the last three years of the “Digital Railway” project implementation. The vector for further development of railway transport digitalization is designated.

Section: Resultsmentioning

confidence: 99%

Digitalization as a factor of economic development of rail transport

Maltseva

2023

“…2, a -For high-speed trains, the following expressions (4), ( 5), (6), and ( 7) are used to calculate the distance between the first and second control points in the figure as well as the rolling stock's time of movement. High-speed train braking times are expressed as follows: (4) for high-speed train braking times between 0 and 108 km/h, (5) for high-speed train braking times between 108 and 350 km/h, and ( 6) and ( 7) when braking is an expression of the path [15][16][17][18][19][20][21][22][23][24].…”

Section: Time Indicators For Automatic Preparation Of Routes For Trai...mentioning

confidence: 99%

Functions of the interlocking system on mixed traffic lines

Boltayev

2024

These days, automated rail traffic control systems help to lessen the need for human intervention in train traffic management. On the other hand, the various algorithms used by interlocking systems to coordinate the movement of trains belonging to distinct categories result in longer wait times for technological procedures at the station. The possibility of timely routes for trains of multiple categories occurs by employing the method of automatic route preparation by interlocking systems in the organization of the movement of trains of different categories. In interlocking systems, automatic route preparation can be achieved by continuously monitoring train characteristics, train traffic graphs of various train classes, and the condition of equipment involved in the function’s development. Nonetheless, it is predicated on the creation of many models to arrange the specifications of various train classes and train movements inside a single schedule type. In order to prepare the routes ahead of time for the station tracks based on the algorithms for the operation of interlocking systems for various kinds of trains, the paper analyzes the reliance of the traffic composition characteristics.

“…In scenarios with very poor reliability, these systems are prone to errors when providing train traffic. Serious accidents and significant financial losses can result from even minor errors [1][2][3][4][5][6][7][8][9][10][11][12][13][14]. In order to guarantee the safety of train movement, automation and remote control systems should have their level of safety inspected.…”

Section: Introductionmentioning

confidence: 99%

Development of a route setting model in the dispatching centralization system

Mukhiddinov,

Boltayev,

Yunusova

et al. 2024

These days, automation and remote control technologies provide the foundation for the organization of train movement across several categories. At railroad sections and stations, dispatcher centralization systems are utilized to guarantee the security of train movement. However, in the railroad portions where high-speed train movements are organized, time limitations based on the human factor are being implemented. Consequently, this results in longer wait times for technological processes at stations and longer train intervals on some railway segments. Developing an automated route preparation procedure at stations in dispatching centralization systems will allow for the resolution of current issues. A dispatching centralized system model for route establishment has been created in this scientific study. Using a two-layer neural network, a mathematical model of route setting in the dispatcher centralization system was determined. Neural networks are employed in rail dispatch rooms for intelligent route comparison and in dispatcher centralized systems for tracking train routes at stations.